Results 61 to 70 of about 1,148,061 (201)
A Bayesian Climate Change Detection and Attribution Assessment [PDF]
, 2005 A Bayesian analysis of the evidence for human-induced climate change in global surface temperature observations is described. The analysis uses the standard optimal detection approach and explicitly incorporates prior knowledge about uncertainty and the ...
Lee, T. C. K. +4 more
core +1 more source
Change Point Detection Based on Cluster Transition Distributions
IEEE AccessNowadays, Anomaly Detection (AD) models are incorporated into various systems, but they will become useless if they are not updated (i.e., re-trained) to keep up with changes in their external environment.
Shoko Takahashi +3 more
doaj +1 more source
A Rolling Bearing Remaining Useful Life Prediction Method Based on Bayesian Change Point Detection [PDF]
Zhengzhou Daxue xuebao. Gongxue banTo address the multi-stage characteristics of rolling bearing degradation with random change points, in this paper a novel method was proposed to predict the remaining useful life (RUL) of multi-stage degradation processes.
LEI Wenping +4 more
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DETECTING UNKNOWN CHANGE POINTS FOR HETEROSKEDASTIC DATA
Dokuz Eylül Üniversitesi İşletme Fakültesi Dergisi, 2023 There are several tests to detect structural change at unknown change points. The Andrews Sup F test (1993) is the most powerful, but it requires the assumption of homoskedasticity. Ahmed et al. (2017) introduced the Sup MZ test, which relaxes this assumption and tests for changes in both the coefficients of regression and variance simultaneously.
Sıdıka Başçı, Asad Ul Islam Khan
openaire +3 more sources
Bivariate Gamma Distributions for Image Registration and Change Detection [PDF]
, 2007 This paper evaluates the potential interest of using bivariate gamma distributions for image registration and change detection. The first part of this paper studies estimators for the parameters of bivariate gamma distributions based on the maximum ...
Florent Chatelain +7 more
core +1 more source
Change detection of urban objects using point clouds
, 2022 5867Change detection in urban areas requires the comparison of multi-temporal data. In contrast to broad research activities in remote sensing this contribution addresses the topic using 3D data (point clouds) instead of 2D data (images).
Tuttas, Sebastian +2 more
core
Remote Sensing, 2023 Change detection (CD) is a technique widely used in remote sensing for identifying the differences between data acquired at different times. Most existing 3D CD approaches voxelize point clouds into 3D grids, project them into 2D images, or rasterize ...
Ming Han +3 more
doaj +1 more source
Frontiers in Earth Science, 2021 Near surface air temperature (NSAT) is one of the most important climatic parameters and its variability plays a vital role in natural processes associated with climate.
Jia Zhou, Jia Zhou, Tao Lu
doaj +1 more source
Gearbox Fault Prediction of Wind Turbines Based on a Stacking Model and Change-Point Detection
Energies, 2019 The fault diagnosis and prediction technology of wind turbines are of great significance for increasing the power generation and reducing the downtime of wind turbines.
Tongke Yuan, Zhifeng Sun, Shihao Ma
doaj +1 more source
Axioms, 2022 Overseas students constitute the paramount talent resource for China, and, hence, overseas talent mobility prediction is crucial for the formulation of China’s talent strategy.
Peng Jiang +4 more
doaj +1 more source